EGFR/FOXO3a/BIM signalling pathway determines chemosensitivity of BMP4-differentiated glioma stem cells to temozolomide
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PROVIDER: PRJNA589752 | ENA |
REPOSITORIES: ENA
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Project description:Accumulating evidence suggests that glioma stem cells (GSCs), rare cells characterised by pluripotency and self-renewal, are responsible for glioblastoma (GBM) propagation, recurrence and resistance to therapy. Differentiation with bone morphogenic proteins (BMPs) is considered to be a promising approach to eliminate GSCs and sensitise glioma to chemotherapeutics. Epidermal growth factor receptor (EGFR) gene alterations are detected in more than a half of GBMs, however, the role of EGFR in chemoresistance of glioma stem cells remain elusive. Here, we investigated whether EGFR signalling affects BMP4-induced differentiation of GSCs and their response to an alkylating drug temozolomide (TMZ). We show that BMP4 triggers Smad signalling cascade in glioma stem cells independently of the EGFR level. BMP4 down-regulated levels of pluripotency markers (SOX2 and OLIG2) with the concomitant induction of astrocytic (GFAP) and neuronal (b-Tubulin III) markers. However, significant differences in chemotherapy outcomes were observed in glioma stem cells with different EGFR levels. BMP4-induced differentiation did not enhance sensitivity to TMZ in EGFRlow GSCs, in contrast to EGFRhigh GSCs, which were undergoing apoptosis. We identified differences in cell cycle regulation by analyses of cell cycle phase distribution and cell-cycle-related proteins. In cells with lower EGFR expression BMP4 triggered the G1 cell cycle arrest, not detected in EGFRhigh cells. RNA-seq profiles further highlighted transcriptomic alternations and distinct processes characterizing EGFR-dependent responses in course of BMP4-induced differentiation. We identified AKT/FOXO3a axis controlling of BIM (the pro-apoptotic BCL-2 family protein) as operating only in EGFRhigh BMP4-differentiated and TMZ-treated cells.
2021-05-05 | GSE140441 | GEO
Project description: Not available
| S-EPMC8080762 | biostudies-literature
Project description:The poor prognosis of patients with glioblastoma is partly due to resistance to standard treatment, which combines chemoradiation using temozolomide (TMZ). The concept of cancer stem cells provided new insight into tumor resistance and management, and isolated Glioblastoma stem-like cells (GSCs) which contribute to this therapy resistance. Bone morphogenetic protein 4 (BMP4) is a differentiation factor that stimulates astroglial differentiation of such GSCs, thereby reducing their self-renewal. Exposing GSCs to BMP4 could therefore sensitize them to chemotherapy with TMZ, but previous studies with various treatment paradigms have produced contradictory results in this matter. Therefore, we re-defined the optimal treatment paradigm for the combination of TMZ and BMP4 and subsequently re-assessed the inter-tumoral variability in response to co-treatment with TMZ+BMP4 in vitro. First, the simultaneous treatment was found more effective than sequential therapy. Second, after application of our optimized treatment protocol, 70% of a total of 20 patient-derived glioblastoma cultures showed synergy when the treatments were combined. The synergistic effect was a result of increased cellular apoptosis and not of decreased proliferation. Comparative RNA-sequencing suggested that combination treatment results in decreased MAPK signaling. We conclude that addition of BMP4 to standard therapy with TMZ could enlarge the group of patients with good therapeutic response.
| EGAS00001007095 | EGA
Project description:Paracetamol (acetaminophen, APAP) overdose severely damages mitochondria and triggers several apoptotic processes in hepatocytes, but the final outcome is fulminant necrotic cell death, resulting in acute liver failure and mortality. Here, we studied this switch of cell death modes and demonstrate a non-canonical role of the apoptosis-regulating BCL-2 homolog BIM/Bcl2l11 in promoting necrosis by regulating cellular bioenergetics. BIM deficiency enhanced total ATP production and shifted the bioenergetic profile towards glycolysis, resulting in persistent protection from APAP-induced liver injury. Modulation of glucose levels and deletion of mitofusins confirmed that severe APAP toxicity occurs only in cells dependent on oxidative phosphorylation. Glycolytic hepatocytes maintained elevated ATP levels and reduced ROS, which enabled lysosomal recycling of damaged mitochondria by mitophagy. The present study highlights how metabolism and bioenergetics affect drug-induced liver toxicity, and identifies BIM as important regulator of glycolysis, mitochondrial respiration, and oxidative stress signaling.
2023-09-08 | GSE242368 | GEO
Project description:The gene expression profiles were identified in glioblastoma cells treated with FAK inhibitor Y15, temozolomide alone or with combination of Y15 and Temozolomide DBTRG and U87 were treated with FAK inhibitor Y15 at 10 microM for 24 h; U87 cells were treated with Temozolomide 100 microM for 24 h and Y15+temozolomide at the same dose as each agent alone
2013-01-12 | E-GEOD-43452 | biostudies-arrayexpress
Project description:Endoglin is a membrane glycoprotein primarily expressed by the vascular endothelium and involved in cardiovascular diseases. Upon the proteolytic processing of the membrane-bound protein, a circulating form of endoglin (soluble endoglin, sEng) can be released, and high levels of sEng have been observed in several endothelial-related pathological conditions, where it appears to contribute to endothelial dysfunction. Preeclampsia is a multisystem disorder of high prevalence in pregnant women characterized by the onset of high blood pressure and often associated with increased levels of sEng. Although a pathogenic role for sEng involving hypertension has been reported in several animal models of preeclampsia, the exact molecular mechanisms implicated remain to be identified. To search for sEng-induced mediators, we have analyzed the protein secretome of human endothelial cells in the presence of sEng. We find that sEng induces the expression of BMP4 in endothelial cells, as evidenced by their proteomic signature, gene transcript levels and BMP4 promoter activity. A mouse model of preeclampsia with high sEng plasma levels (sEng+) showed increased levels of BMP4 transcripts in lungs and increased circulating BMP4, compared to those of control animals. In addition, after crossing female wild type with male sEng+ mice, hypertension appears 18 days after mating, precisely coinciding with the appearance of high plasma levels of BMP4. Also, serum levels of sEng and BMP4 are positively correlated in pregnant women with and without preeclampsia. Interestingly, sEng-induced arterial pressure elevation in sEng+ mice was abolished in the presence of the BMP4 inhibitor noggin, suggesting that BMP4 is a downstream mediator of sEng. These results provide a better understanding on the role of sEng in the pathobiology of preeclampsia and other cardiovascular diseases, where sEng levels are increased.
2020-04-23 | PXD016228 | Pride
Project description:Batch RNA sequencing of passages 5-7 of three patient-derived monolayer glioblastoma cultures in which TMZ and BMP4 synergize. 3 biological replicates, either untreated, only temozolomide, only BMP4 or temozolomide + BMP4
| EGAD00001010163 | EGA
Project description:In an effort to develop a genomics-based approach to the prediction of drug response, we have developed an algorithm for classification of cell line chemosensitivity based on gene expression profiles alone. Using oligonucleotide microarrays, the expression levels of 6,817 genes were measured in a panel of 60 human cancer cell lines (the NCI-60) for which the chemosensitivity profiles of thousands of chemical compounds have been determined. We sought to determine whether the gene expression signatures of untreated cells were sufficient for the prediction of chemosensitivity. Gene expression-based classifiers of sensitivity or resistance for 232 compounds were generated and then evaluated on independent sets of data. The classifiers were designed to be independent of the cells' tissue of origin. The accuracy of chemosensitivity prediction was considerably better than would be expected by chance. Eighty-eight of 232 expression-based classifiers performed accurately (with P < 0.05) on an independent test set, whereas only 12 of the 232 would be expected to do so by chance. These results suggest that at least for a subset of compounds genomic approaches to chemosensitivity prediction are feasible. golub-00299 Assay Type: Gene Expression Provider: Affymetrix Array Designs: Hu6800 Organism: Homo sapiens (ncbitax) Tissue Sites: Kidney, Brain, Blood, Lung, Skin, Colon, Breast, Prostate, Ovary Material Types: cell, synthetic_RNA, whole_organism, total_RNA Disease States: Carcinoma, Glioblastoma, Lymphoma, Adenocarcinoma, Melanoma, Amelanotic Melanoma, Large Cell Carcinoma, Precursor Lymphoblastic Leukemia, Carcinosarcoma, Myeloid Leukemia, Plasma Cell Myeloma, Bronchogenic Carcinoma, Chronic Myelogenous Leukemia, Squamous Cell Carcinoma
2015-05-16 | E-GEOD-68936 | biostudies-arrayexpress
Project description:In order to observe palovarotene modulates BMP4-induced transcriptome,2H11 cells treated with BMP4 or BMP4 plus palovarotene for 48 hours were subjected to RNAseq analyses
2021-03-04 | GSE168157 | GEO
Project description:In an effort to develop a genomics-based approach to the prediction of drug response, we have developed an algorithm for classification of cell line chemosensitivity based on gene expression profiles alone. Using oligonucleotide microarrays, the expression levels of 6,817 genes were measured in a panel of 60 human cancer cell lines (the NCI-60) for which the chemosensitivity profiles of thousands of chemical compounds have been determined. We sought to determine whether the gene expression signatures of untreated cells were sufficient for the prediction of chemosensitivity. Gene expression-based classifiers of sensitivity or resistance for 232 compounds were generated and then evaluated on independent sets of data. The classifiers were designed to be independent of the cells' tissue of origin. The accuracy of chemosensitivity prediction was considerably better than would be expected by chance. Eighty-eight of 232 expression-based classifiers performed accurately (with P < 0.05) on an independent test set, whereas only 12 of the 232 would be expected to do so by chance. These results suggest that at least for a subset of compounds genomic approaches to chemosensitivity prediction are feasible.
2015-05-16 | GSE68936 | GEO